基于数字孪生的航班保障预警系统

为了提高航班和保障车辆的安全性，本文提出了一种基于数字孪生的新型航班保障预警系统架构。数字孪生系统中包括实际机场、赛博空间的仿真模型以及实时数据。系统可以根据当前作业状况，预测保障活动未来会出现的风险情况。文章中详细介绍了航班保障的规则，仿真模型的设计开发，如何实现保障车辆和航班数据的实时采集，以及潜在碰撞风险的预测。为了验证预警逻辑和算法的有效性，在Anylogic平台进行系统开发和仿真实验，实验结果表明本文提出的架构可以对车辆和航班进行提前预警，保障运营安全。

Research on early warning system of flight support based on digital twin

In order to improve the safety of flights and support vehicles, this paper proposes a new type of flight support early warning system architecture based on digital twins. The digital twin system includes simulation model of real airports and cyberspace, as well as real-time data. The system can predict the future risk situation of support activities based on the current operating conditions. The article details the rules of flight support, the design and development of simulation models, how to achieve real-time collection of support vehicle and flight data, and the prediction of potential collision risks. In order to verify the effectiveness of the early warning logic and algorithms, system development and simulation experiments are performed on the Anylogic platform. The experimental results show that the architecture proposed in this paper can provide early warning of vehicles and flights to ensure operational safety.